_{FleetGlue is building the FactoryOS — a unified automation layer that lets manufacturers deploy and scale robots, machines, and systems in minutes, not months. We’re creating the backbone that connects the physical and digital worlds of manufacturing — and we’re looking for a founding backend engineer to help build it.}

_{You’ll architect the systems that orchestrate automation in real time, handle high-frequency data from robots and PLCs, and power the APIs that define how factories think. This is a chance to help design the core logic of a platform already running in production at leading manufacturers — and to shape how industrial automation will work for the next century.}

_{What You’ll Do}

• _{Build the nervous system of automation. Develop foundational backend modules for the FactoryOS — from API orchestration to device management, telemetry ingestion, and control systems.}
  
• _{Migrate and modernize. Lead the transition of our Python microservices from AWS to Kubernetes, implementing GitOps workflows and ArgoCD for CI/CD.}
  
• _{Stream and synchronize. Implement robust data streaming infrastructure (Kafka, ZeroMQ, or ROS) to handle high-frequency industrial telemetry across edge and cloud environments.}
  
• _{Design for scale and resilience. Build APIs and backend services that can handle thousands of devices, users, and data streams with low latency and high reliability.}
  
• _{Collaborate across the stack. Work closely with frontend, robotics, and data teams to define how factory devices communicate, integrate, and evolve.}
  
• _{Shape the architecture. As one of the earliest backend engineers, your design decisions will become the foundation for every future service in the platform.}
  

_{You Bring}

• _{Strong Python backend development skills, with experience designing and scaling API-driven systems.}
  
• _{Hands-on experience with cloud-to-on-prem migrations using Kubernetes (or a deep desire to learn and own it end-to-end).}
  
• _{Understanding of GitOps principles and modern CI/CD workflows.}
  
• _{Curiosity about real-world systems — you care how data moves from a robot sensor to a dashboard, and you want to make that movement instant and reliable.}
  

_{Bonus Points}

• _{Experience with high-frequency data streaming (Kafka, ZeroMQ, RabbitMQ, or ROS).}
  
• _{Multi-cloud experience across AWS, GCP, or Azure.}
  
• _{Background in manufacturing, robotics, or industrial IoT systems.}
• _{Experience in manufacturing environments}

_Location

• _{Full-time position is based in San Francisco}
• _{Occasional travel will be required to go on-site to manufacturing or logistics customers}

_{What We Offer}

• _{Ground-floor opportunity in fast growing startup}
• _Compensation
• _{Hands-on experience with cutting-edge robotics technology}

_{Interested candidates should email their resume and GitHub profile to danny@fleetglue.com}

_{‍FleetGlue is an equal opportunity employer. We welcome applications from all qualified candidates.}